"Classification of Normal and Pathological Voice Using SVM and RBFNN"
written by V. Sellam, J. Jagadeesan,
published by Journal of Signal and Information Processing, Vol.5 No.1, 2014
has been cited by the following article(s):
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[3] A Survey on Signal Processing Based Pathological Voice Detection Techniques
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[10] A Preliminary Receiver Operating Characteristic Analysis on Voice Handicap Index Results of the Greek Voice-Disordered Patients
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[13] Recent Survey on Feature Extraction Methods for Voice Pathology and Voice Disorder
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[16] An incremental method combining density clustering and support vector machines for voice pathology detection
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[17] Pathological voices detection using Support Vector Machine
[18] 基于多尺度重采样思想的类指数核函数构造
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[19] Automatic Control Music Amplifier Using Speech Signal Utilizing by TMS320C6713
Electronics Symposium (IES), 2015 International, 2015
[20] Glottal pathology discrimination using ANN and SVM
Advances in Computing, Communications and Informatics (ICACCI), 2015 International Conference on, 2015
[21] Vocal Features for Glottal Pathology Detection using BPNN
International Journal of Computer Applications, 2015
[22] Voice signal features analysis and classification: looking for new diseases related parameters
Proceedings of the 6th ACM Conference on Bioinformatics, Computational Biology and Health Informatics, 2015
[23] A Study on Male Voice Mutation
[24] A Survey of Machine Learning Based Approaches for Parkinson Disease Prediction